spark CompressionScheme 源码
spark CompressionScheme 代码
文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/compression/CompressionScheme.scala
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.execution.columnar.compression
import java.nio.{ByteBuffer, ByteOrder}
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.errors.QueryExecutionErrors
import org.apache.spark.sql.execution.columnar.{ColumnType, NativeColumnType}
import org.apache.spark.sql.execution.vectorized.WritableColumnVector
import org.apache.spark.sql.types.AtomicType
private[columnar] trait Encoder[T <: AtomicType] {
def gatherCompressibilityStats(row: InternalRow, ordinal: Int): Unit = {}
def compressedSize: Int
def uncompressedSize: Int
def compressionRatio: Double = {
if (uncompressedSize > 0) compressedSize.toDouble / uncompressedSize else 1.0
}
def compress(from: ByteBuffer, to: ByteBuffer): ByteBuffer
}
private[columnar] trait Decoder[T <: AtomicType] {
def next(row: InternalRow, ordinal: Int): Unit
def hasNext: Boolean
def decompress(columnVector: WritableColumnVector, capacity: Int): Unit
}
private[columnar] trait CompressionScheme {
def typeId: Int
def supports(columnType: ColumnType[_]): Boolean
def encoder[T <: AtomicType](columnType: NativeColumnType[T]): Encoder[T]
def decoder[T <: AtomicType](buffer: ByteBuffer, columnType: NativeColumnType[T]): Decoder[T]
}
private[columnar] trait WithCompressionSchemes {
def schemes: Seq[CompressionScheme]
}
private[columnar] trait AllCompressionSchemes extends WithCompressionSchemes {
override val schemes: Seq[CompressionScheme] = CompressionScheme.all
}
private[columnar] object CompressionScheme {
val all: Seq[CompressionScheme] =
Seq(PassThrough, RunLengthEncoding, DictionaryEncoding, BooleanBitSet, IntDelta, LongDelta)
private val typeIdToScheme = all.map(scheme => scheme.typeId -> scheme).toMap
def apply(typeId: Int): CompressionScheme = {
typeIdToScheme.getOrElse(typeId,
throw QueryExecutionErrors.unrecognizedCompressionSchemaTypeIDError(typeId))
}
def columnHeaderSize(columnBuffer: ByteBuffer): Int = {
val header = columnBuffer.duplicate().order(ByteOrder.nativeOrder)
val nullCount = header.getInt()
// null count + null positions
4 + 4 * nullCount
}
}
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